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Classification of restrictive and obstructive pulmonary diseases using spirometry data.

Author information

1
Tehran University of Medical Sciences, Tehran, Iran. arabalibeik@tums.ac.ir

Abstract

Spirometry provides useful information for diagnosis purposes in the pulmonary system. A decision support system could help in using this useful noninvasive test more reliably. Bayesian reasoning could aggregate the results of a group of neural network classifiers to improve the diagnosis of pulmonary diseases and discriminating between its restrictive and obstructive patterns.

PMID:
19377105
[Indexed for MEDLINE]

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